Questions about COVID-19 associated coagulopathy: possible answers from the viscoelastic tests

Abnormal coagulation parameters are often observed in patients with coronavirus disease 2019 (COVID-19) and the severity of derangement has been associated with a poor prognosis. The COVID-19 associated coagulopathy (CAC) displays unique features that include a high risk of developing thromboembolic...

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Bibliographic Details
Published in:Journal of clinical monitoring and computing 2022-02, Vol.36 (1), p.55-69
Main Authors: Pavoni, Vittorio, Gianesello, Lara, Pazzi, Maddalena, Dattolo, Pietro, Prisco, Domenico
Format: Article
Language:English
Subjects:
Anesthesiology
Blood Coagulation Disorders - diagnosis
Blood Coagulation Disorders - etiology
Coagulation
Coronaviruses
COVID-19
COVID-19 - complications
Critical Care Medicine
Health Sciences
Hemostasis
Hemostatics
Humans
Intensive
Medicine
Medicine & Public Health
Questions
Review Paper
SARS-CoV-2
Statistics for Life Sciences
Thrombelastography - adverse effects
Viral diseases
Viscoelasticity
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Summary:Abnormal coagulation parameters are often observed in patients with coronavirus disease 2019 (COVID-19) and the severity of derangement has been associated with a poor prognosis. The COVID-19 associated coagulopathy (CAC) displays unique features that include a high risk of developing thromboembolic complications. Viscoelastic tests (VETs), such as thromboelastometry (ROTEM), thromboelastography (TEG) and Quantra Hemostasis Analyzer (Quantra), provide “dynamic” data on clot formation and dissolution; they are used in different critical care settings, both in hemorrhagic and in thrombotic conditions. In patients with severe COVID-19 infection VETs can supply to clinicians more information about the CAC, identifying the presence of hypercoagulable and hypofibrinolysis states. In the last year, many studies have proposed to explain the underlying characteristics of CAC; however, there remain many unanswered questions. We tried to address some of the important queries about CAC through VETs analysis.
ISSN:1387-1307
1573-2614
DOI:10.1007/s10877-021-00744-7